Brian A. Kidd

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Brian A. Kidd trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yoshua Bengio
  2. Hugo Larochelle
  3. Pascal Vincent
  4. David M. Blei
  5. Riccardo Bellazzi

Who trusts Brian A. Kidd overall

  1. Clémence Réda
  2. Ying Sha
  3. Raquel Dias

Papers from Brian A. Kidd's perspective

Ordered by how strongly the researchers Brian A. Kidd trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. This PDF file includes: Materials and Methods
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers